The Power of Maybes: Machines, Uncertainty and Design Futures
In the 21st century, decision-making processes are increasingly being transferred from humans to machines. Algorithms and prediction capture and shape our choices about how we live and interact with others before we can register their mechanisms of reaching outcomes. The time that we would allocate to critical thinking, reflecting and assessing, evaporates. Through an examination of the work that predictive machines do when making decisions and their impact on human capacities, this cutting-edge study looks to 'uncertainty' as a central, epistemic tool for reimagining human-machine encounters. It focuses on the space of 'maybes', before prediction, as an area for critical inquiry and cultivation.

Through a transdisciplinary approach that brings together design studies and philosophies of processes and technology, Betti Marenko explores how the area of uncertainty can be mapped, diagrammed and designed. By framing uncertainty as a design material, she demonstrates how it can be mobilized to create new modes of knowledge production.

This book sheds light on how current computational processes can deepen contested classifications, inequalities and hierarchies, and offers alternative anticipatory design methods and stratagems based on uncertainty that can be used to avoid reduction and algorithmic capture. It offers a framework for harnessing the power of 'maybes' through design and contributes to contemporary debates around the growing intelligence and autonomy of machines. It is a timely intervention on how to reinvent critique in the algorithmic age by designing new modes of living attuned not to what is, but to what may be.

1144418919
The Power of Maybes: Machines, Uncertainty and Design Futures
In the 21st century, decision-making processes are increasingly being transferred from humans to machines. Algorithms and prediction capture and shape our choices about how we live and interact with others before we can register their mechanisms of reaching outcomes. The time that we would allocate to critical thinking, reflecting and assessing, evaporates. Through an examination of the work that predictive machines do when making decisions and their impact on human capacities, this cutting-edge study looks to 'uncertainty' as a central, epistemic tool for reimagining human-machine encounters. It focuses on the space of 'maybes', before prediction, as an area for critical inquiry and cultivation.

Through a transdisciplinary approach that brings together design studies and philosophies of processes and technology, Betti Marenko explores how the area of uncertainty can be mapped, diagrammed and designed. By framing uncertainty as a design material, she demonstrates how it can be mobilized to create new modes of knowledge production.

This book sheds light on how current computational processes can deepen contested classifications, inequalities and hierarchies, and offers alternative anticipatory design methods and stratagems based on uncertainty that can be used to avoid reduction and algorithmic capture. It offers a framework for harnessing the power of 'maybes' through design and contributes to contemporary debates around the growing intelligence and autonomy of machines. It is a timely intervention on how to reinvent critique in the algorithmic age by designing new modes of living attuned not to what is, but to what may be.

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The Power of Maybes: Machines, Uncertainty and Design Futures

The Power of Maybes: Machines, Uncertainty and Design Futures

The Power of Maybes: Machines, Uncertainty and Design Futures

The Power of Maybes: Machines, Uncertainty and Design Futures

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Overview

In the 21st century, decision-making processes are increasingly being transferred from humans to machines. Algorithms and prediction capture and shape our choices about how we live and interact with others before we can register their mechanisms of reaching outcomes. The time that we would allocate to critical thinking, reflecting and assessing, evaporates. Through an examination of the work that predictive machines do when making decisions and their impact on human capacities, this cutting-edge study looks to 'uncertainty' as a central, epistemic tool for reimagining human-machine encounters. It focuses on the space of 'maybes', before prediction, as an area for critical inquiry and cultivation.

Through a transdisciplinary approach that brings together design studies and philosophies of processes and technology, Betti Marenko explores how the area of uncertainty can be mapped, diagrammed and designed. By framing uncertainty as a design material, she demonstrates how it can be mobilized to create new modes of knowledge production.

This book sheds light on how current computational processes can deepen contested classifications, inequalities and hierarchies, and offers alternative anticipatory design methods and stratagems based on uncertainty that can be used to avoid reduction and algorithmic capture. It offers a framework for harnessing the power of 'maybes' through design and contributes to contemporary debates around the growing intelligence and autonomy of machines. It is a timely intervention on how to reinvent critique in the algorithmic age by designing new modes of living attuned not to what is, but to what may be.


Product Details

ISBN-13: 9781350377271
Publisher: Bloomsbury Academic
Publication date: 08/21/2025
Series: Beyond the Modern
Pages: 224
Product dimensions: 6.14(w) x 9.21(h) x 1.00(d)

About the Author

Betti Marenko is a transdisciplinary theorist, academic and educator working across process philosophies, design studies and critical technologies. She is Reader in Design and Techno-Digital Futures at Central Saint Martins, University of the Arts London, UK, where she founded and directs the Hybrid Futures Lab, a transversal research initiative that focuses on developing speculative-pragmatic interventions at the intersection of philosophy, design, technology and future-crafting practices. She is also WRHI Appointed Professor at the Tokyo Institute of Technology, Japan. With Marco Rozendaal and Will Odom, she co-edited Designing Smart Objects in Everyday Life (Bloomsbury, 2021).

Table of Contents

Preface
An Uncertain Introduction: (Un)setting the Scene
1. Algorithmic Subjects
2. Machines Work
3. Hybrid Futures
4. Unknowing Stratagems
5. Resistance to Reduction
6. Diagramming Metis: FutureCrafting
Conclusion: The Power of Maybes

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